Algorithm for automatic calibration of color vision system in foods
2018
Minz, P. S. | Sawhney, I. K. | Saini, C. S.
One of the important steps in development of machine vision system is calibration. In this study, a graphic user interface based program was developed and evaluated for calibration of color vision system. Algorithm is capable of processing user defined shades and generates calibration files. System was evaluated for calibration of color vision system to measure CIE L*a*b* color values of flavored milk and skim milk powder. The proposed method takes advantage of individual L*a*b* channel calibration using multiple regression analysis. Effect of image at different resolutions (0.3, 2, 8, 16 mega pixel) and calibration models (linear, quadratic, cubic and quartic) on color measurement was studied. Innovative trend analysis program for L*a*b* channel was useful in identifying and eliminating errors in early calibration steps. Image resolution of 8 mega pixel or above was found to be adequate to capture all graphical details for food colorimetric applications. The algorithm was successful in calibration of color vision system.
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